MMLU-Pro Cost Efficiency
MMLU-Pro scores plotted against estimated effective cost per 1M I/O tokens (a runtime estimate, not a published task cost). Explicit reasoning/nonreasoning siblings are connected where both are public. Color = provider.
MMLU-Pro Cost Efficiency
MMLU-Pro scores plotted against estimated effective cost per 1M I/O tokens (a runtime estimate, not a published task cost). Explicit reasoning/nonreasoning siblings are connected where both are public. Color = provider.
This chart is part of the MMLU-Pro benchmark page, which adds the model table, sources and how to read each view.
More / ExperimentalMMLU-Pro vs Effective CostX = effective cost (log). Y = MMLU-Pro score. Color = provider.Data: Artificial Analysis, ARC Prize, Vals Index v2 Cost per Test +3 moreOpen chartIQ BenchmarksMMLU-Pro Benchmark ScoresEach model's MMLU-Pro score. Color = provider.Data: Manual source capture, Full source leaderboard reconciliationOpen chartMore / ExperimentalSWE-Bench Verified Benchmark ScoresHistorical data. Vals archived cohort; retired from default Software Engineering domain. Each model's SWE-Bench Verified score. Color = provider.Data: Vals.ai, LLM StatsOpen chartMore / ExperimentalTerminal-Bench 2.0 Benchmark ScoresHistorical data. Superseded by 2.1 and 4.0. Legacy Terminal-Bench 2.0 scores retained for historical comparison. Color = provider.Data: Terminal-BenchOpen chartMore / ExperimentalTerminal-Bench 2.1 Benchmark ScoresHistorical data. Superseded in Programmatic Reasoning by Terminal-Bench 4.0. Each model's Terminal-Bench 2.1 pass@1 score, using Artificial Analysis as canonical and Vals.ai as fallback. Color = provider.Data: Artificial Analysis Terminal-Bench v2.1, Vals.ai Terminal-Bench 2.1, Artificial Analysis Intelligence Index v4.3.1Open chartMore / ExperimentalTerminal-Bench Hard Benchmark ScoresHistorical data. Historical hard subset; not a Terminal-Bench 4.0 result. Each model's Terminal-Bench Hard score. Color = provider.Data: Artificial AnalysisOpen chart